Octopai

JANUARY 21, 2020

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Saving time and headaches with online analytical processing tool. However, over time new technologies and tools developed to ease data reporting and analysis.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

AWS Big Data

SEPTEMBER 22, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. When using multiple statements to update or insert data, there is a risk of inconsistencies between the different operations. Amazon Redshift has recently added many SQL commands and expressions.

Data Warehouse 117

Data Warehouse OLAP Risk Online Analytical Processing 117

IBM Big Data Hub

SEPTEMBER 25, 2023

Large, untested workloads run the risk of hogging all the resources. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. In some cases, the queries run out of memory and do not complete.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Past performance and current conditions are critically important; but without a view to the road ahead, business leaders risk being blindsided by unexpected developments.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

SEPTEMBER 4, 2020

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Customer churn prediction : OLAP can identify customers at risk of churn, enabling businesses to implement retention strategies.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Jinja provides a powerful automatic HTML escaping feature. Sandboxing.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52